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Offers

Corey HainesCommunityCreated by Corey Haines

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  • Business and productivity
  • MIT
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From the author

When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure. Also use when the user mentions 'offer,' 'offer design,' 'build an offer,' 'grand slam offer,' 'irresistible offer,' 'value stack,' 'bonus stack,' 'guarantee,' 'risk reversal,' 'money-back guarantee,' 'scarcity,' 'urgency,' 'high-ticket offer,' 'productize a service,' 'naming an offer,' 'payment plan,' 'down-sell,' 'upsell offer,' or 'why isn't my offer converting.' Best for services, agencies, courses, coaching, info products, high-ticket B2B, and direct-response. If you run pure self-serve SaaS, read pricing first — tiers and packaging do more work there. For price level itself (tiers, freemium, value metric), see pricing. For the page that presents the offer, see copywriting. For the launch moment, see launch. For sales collateral, see sales-enablement.
— the description by Corey Haines

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to offer design, emphasizing that conversion issues are often rooted in the offer itself rather than the copy. It utilizes the Value Equation—Dream Outcome, Perceived Likelihood, Time Delay, and Effort & Sacrifice—to diagnose and improve the core components of an offer. The framework guides users through auditing their current offer, identifying the weakest lever, and systematically adding components like bonuses, guarantees, and scarcity to increase perceived value and conversion rates.

What it does

  • Diagnoses the binding constraints of an existing offer using the Value Equation.
  • Provides a six-part anatomy for building complete, high-converting offers.
  • Offers strategies for designing effective guarantees and risk-reversal mechanisms.
  • Guides the creation of bonus stacks that address specific customer objections.
  • Helps structure pricing and payment plans to maximize conversion.
  • Identifies when to use offer-design tactics versus pricing or copywriting strategies.

When to use it

  • When an existing offer is failing to convert despite having decent traffic.
  • When you need to build a new offer for services, courses, coaching, or high-ticket B2B.
  • When you want to increase the perceived value of your product without simply lowering the price.
  • When you need to address specific customer objections through strategic bonus stacking.
  • When you are transitioning from selling time to selling productized services or outcomes.

Advantages

  • Focuses on the structural integrity of the offer rather than just surface-level copy.
  • Provides a clear, actionable diagnostic loop to identify the biggest lever for improvement.
  • Uses a proven, logic-based framework to increase value perception.
  • Helps avoid common pitfalls like manipulative scarcity or over-promising guarantees.
  • Standardizes the components of an offer to ensure nothing critical is missing.

Usage examples

“My agency retainer isn't converting. How do I improve the offer?”
The agent will guide you through identifying your business type, scoring your current offer against the Value Equation, and pinpointing which of the six offer components is missing or weak.
“How can I add bonuses to my course without making it look like cheap padding?”
The agent will help you design a bonus stack where each item specifically targets a known customer objection, such as lack of time or fear of getting stuck.
“I want to offer a guarantee for my coaching program but I'm afraid of refunds.”
The agent will help you design a conditional guarantee that provides risk reversal for the client while protecting your business model and reputation.
“Why is my high-ticket B2B offer not getting any bites?”
The agent will audit your offer's anatomy, likely focusing on whether your dream outcome is clearly defined and if your perceived likelihood of achievement is supported by sufficient proof.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/coreyhaines31/offers/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip offers.zip -d .agents/skills

Documentation by Corey Haines

Offer Design

You are an expert in offer construction. Your goal is to help the user build offers that move — not by writing better copy on a worse offer, but by improving the offer itself.

Before Starting

Check for product marketing context first: If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.


Core Philosophy

The offer is the thing, not the page. Better copy on a weak offer compounds slowly. A stronger offer with average copy converts immediately. Most "we need better copy" requests are actually "we need a better offer" requests in disguise.

This skill exists because the rest of the repo handles the expression of an offer — copywriting writes the sales page, cro optimizes the conversion path, pricing sets the tier structure, launch orchestrates the moment, paywalls shapes the upgrade prompt. None of them ask the deeper question: is the offer underneath any of that actually good?

When this skill matters

You sell:

  • Services — consulting, freelance, agency retainers, productized services

  • Courses — async, cohort-based, live

  • Coaching — 1:1, group, mastermind

  • Info products — guides, swipe files, templates, communities

  • High-ticket B2B — $5K+ ACV with a sales conversation

  • Direct-response — e-com promo offers, infomercial-style, paid-traffic-to-VSL

When pricing does more of the work

You sell:

  • Self-serve SaaS with tiered subscriptions — the levers are mostly tier structure, value metric, and packaging; offer construction (bonuses, guarantees) is secondary

  • Marketplaces — the offer is structural, not constructed

Skim this skill in those cases for the value equation framing, then go to pricing.


The Value Equation

The single most useful frame for offer design. Originally from Alex Hormozi's $100M Offers — internalized broadly across direct-response and creator-economy training since.

              Dream Outcome  ×  Perceived Likelihood of Achievement
  Value  =  ─────────────────────────────────────────────────────────
              Time Delay     ×   Effort & Sacrifice

You move the four levers like this:

LeverWhat it meansHow to increase value
Dream outcome ↑What the customer actually wantsConnect to the bigger goal behind the surface ask. Specify and name it.
Perceived likelihood ↑Do they believe they'll get itProof (case studies, named customers, data), guarantees, methodology specificity
Time delay ↓How long until resultFaster onboarding, faster first win, faster end-to-end timeline
Effort & sacrifice ↓What it costs them in time/work/risk besides moneyDone-for-you, simpler process, fewer decisions, lower learning curve

Implication for offer construction: most "lower the price" requests are actually "raise the numerator or lower the denominator" requests. Price is the comparison, not the value.

For the full framework, examples, and how to diagnose which lever is broken: see references/value-equation.md


The Anatomy of a Complete Offer

A complete offer has six components. Skip any one and conversion suffers.

#ComponentQuestion it answers
1Core deliverableWhat do they get?
2Bonus stackWhat else do they get that makes the core feel undervalued?
3GuaranteeWhat happens if it doesn't work?
4Scarcity / urgencyWhy now, not later?
5NameWhat is this thing called?
6Price + payment structureWhat do they pay and how?

Most weak offers fail on bonuses (none), guarantees (none or wrong type), or scarcity (none, or fake). Most aggressive-to-the-point-of-cringe offers fail on guarantee (over-promising) or scarcity (fake countdown timers).

For the full anatomy with worked examples: see references/offer-anatomy.md


Reference Library

ReferenceWhen to read
value-equation.mdDiagnosing which lever is broken on a stuck offer
offer-anatomy.mdBuilding a complete offer from scratch
guarantee-design.mdPicking the right type of guarantee for your business model
bonus-stacking.mdAdding bonuses that raise perceived value without devaluing the core
scarcity-urgency.mdCreating real scarcity (and avoiding the fake patterns that destroy trust)
offer-formats.mdFormat playbooks by business type — service, course, coaching, info product, SaaS lead magnet, agency retainer, high-ticket B2B
saas-offers.mdSaaS specifically — the discount trap (why discounting to acquire backfires) + four SaaS worked offers (AudienceTap, SaberSim, Teachable, Kit)
examples.mdAnonymized worked examples — before/after for each business type

The Diagnostic Loop

When the user says "my offer isn't converting" or "I want to improve my offer":

  1. Identify the business type — service, course, coaching, info product, SaaS, agency, B2B. The right playbook is type-specific.

  2. State the current offer in plain language — name, price, what they get, guarantee, deadline. Write it down even if it lives in scattered places now.

  3. Run the value equation — score each of the four levers 1–10. The lowest is the binding constraint.

  4. Audit the anatomy — which of the six components is missing or weak?

  5. Pick one lever to fix this iteration — don't rebuild everything. The biggest lever is usually the one currently scoring lowest.

  6. Draft the changed component — new bonus, new guarantee, new scarcity, new name, new payment plan

  7. Project the lift, honestly — plan on 10–40% relative lift from one component change. Multiply the lifts, don't add them: +20% then +30% = 1.20 × 1.30 = 1.56 (2% → 3.12%, +1.12 percentage points). Two iterations rarely reach 2–3x; anyone promising 5x is selling something. Confirm the combined offer with a test (see ab-testing).


When NOT to Use Offer-Design Tactics

Some offer patterns work but cost more than they're worth:

  • Manipulative scarcity — fake countdown timers, "only 3 spots left" lies. Short-term lift, long-term trust collapse. Don't.

  • Over-promising guarantees — "double your revenue or refund + $1,000." Refund risk eats margin; the few cases that fail nuke your reputation publicly.

  • Bonus inflation — stacking $50K of "bonuses" on a $497 product so it "feels like a steal." Sophisticated buyers see this. Treat bonuses as additive, not exaggerated.

  • Course-bro aesthetic on a serious product — Gold logos, "secret method," fake urgency. Pattern-matches to scam. Wrong room.

  • Discounting to acquire — discount-askers churn at ~2× the rate of full-price customers, and a coupon anchors the product as cheap. Discount only for upgrades/cross-sells (rewarding existing customers) or real seasonal windows — never to win a new one. Raise value with an offer instead. See saas-offers.md.

The repo voice: opinionated, but honest. Building offers well doesn't mean building offers loud.


Banned Vocabulary

When drafting offer language (sales pages, emails, headlines), avoid:

  • "Game-changing," "revolutionary," "disruptive," "next-level," "10x" — pattern-matches to AI slop / course-bro

  • "Secret," "hidden," "what they don't want you to know" — clickbait

  • "Limited time" with no actual time limit — lying

  • "Worth $X" or "$Y value" with no comparable — inflation

  • "100% guaranteed" without specifying conditions — legally and brand-wise risky

Use specific numbers, named customers, concrete outcomes, real timelines. Specificity beats superlatives.


  • pricing — for price levels, tier structure, value metric, packaging, freemium

  • copywriting — for the page that presents the offer

  • cro — for optimizing the conversion path the offer travels through

  • launch — for the moment you ship the offer

  • paywalls — for in-app upgrade-prompt versions of an offer

  • sales-enablement — for the deck and one-pager that carry the offer into a sales conversation

  • emails — for the email sequence that warms up the offer

  • marketing-psychology — for the cognitive biases that make offers land or bounce

Files

references/bonus-stacking.md

Bonus Stacking

How to add bonuses that raise perceived value without devaluing the core offer.

What bonuses actually do

Three jobs at once:

  1. Raise perceived value of the total offer

  2. Lower perceived risk — even if the core underdelivers, "I still got X for free"

  3. Close specific buying objections — each bonus can target one objection

The third job is the underrated one. Most weak bonus stacks throw four generic "extras" at the buyer. Strong bonus stacks read the buyer's specific hesitations and close them in order.


The core principle: bonuses-as-objection-handlers

For each major objection your buyer has, add a bonus that closes it.

Common objections → matching bonus
ObjectionTargeted bonus
"I don't have time to implement this"Done-for-you setup, week 1
"I don't know which tools to use"Pre-vetted tool stack with discount codes
"What if I get stuck?"30-day async Slack support
"I'm not sure my team will buy in"Stakeholder pitch deck
"I've tried something like this before and it didn't work"Case study from someone in your exact situation
"What about [edge case in my industry]?"Industry-specific bonus reference doc
"Will I have to learn a bunch of new tools?"Pre-built templates for the tools we recommend
"What if I don't finish it?"1:1 accountability check-in at day 30
"My situation is more complex than the average buyer"1:1 onboarding call to customize the plan
"Will this work in [region/language]?"Localized version or addendum

A 4-bonus stack that closes 4 specific objections converts massively better than a 4-bonus stack of generic "extras."

How to find your buyer's actual objections
  1. Read every refund-request email and sales-call transcript from the last 6 months

  2. Read your own sales page out loud and write down every doubt that surfaces

  3. Ask 3 recent buyers: "What almost made you not buy?"

The answers cluster around 3–6 objections. Build a bonus for each.


The math of bonus value

Each bonus has a stated value (what it would cost if you bought it separately). Bonuses should:

  1. Have a stated value the buyer can verify. Compare to a comparable product or service. "$497 value — that's what the standalone template pack costs" beats "$5,000 value." (Standalone? Compared to what?)

  2. Total to less than 2x the price of the core offer. A $1K offer can comfortably have $1.5K in bonuses. A $1K offer with "$25K in bonuses" reads as a scam.

  3. Be things you'd actually sell separately. If you'd never sell the bonus as a standalone product, the stated value isn't real. Sophisticated buyers can tell.

  4. Each have a specific named outcome. "Bonus: marketing toolkit" is weak. "Bonus: 12 pre-built Notion templates for your first 90 days, valued at $297 because that's what the standalone template pack sells for at [link]" is strong.


The 4-bonus pattern that works

Most strong offers stack exactly 3–5 bonuses. More starts to feel like padding; fewer leaves objections un-closed.

A common structure:

#TypePurposeTypical value
1Speed bonusRemoves time-delay objectionTemplates, swipes, accelerators
2Trust bonusRemoves likelihood-of-failure objectionCase study, methodology doc, examples library
3Stuck bonusRemoves "what if I get stuck" objectionOffice hours, Slack, on-demand support
4Decision bonusRemoves "I have to choose between X and Y" objectionTool stack with discount codes, pre-vetted recommendations
5 (optional)Bigger-than-you-asked bonusAdds dream-outcome surface areaAdjacent deliverable, related framework, partner offer

Example for a $2K B2B copywriting course:

#BonusCloses
1"30 winning sales page templates (last updated 2026-Q2)" — $297 value"I don't have time to write from scratch"
2"9 case studies from agencies that hit $250K MRR using these frameworks" — $0 (proof, not a saleable asset)"Does this actually work for my situation?"
3"60-day Slack access with weekly office hours" — $497 value"What if I get stuck on a specific project?"
4"The tool stack: 5 tools we use + discount codes (saves ~$1,200/yr)" — $1,200 value"I don't know what to use"
5"Bonus session: How to charge $5K+ per project" — $297 valuePricing confidence (adjacent dream outcome)

Total stated value: ~$2,300 in bonuses on a $2K core. Math checks out (under 2x). Each bonus closes a real objection.


When bonuses backfire

Inflated values

"$50,000 in bonuses included today only!" on a $497 product. The asymmetry is the tell — every sophisticated buyer's bullshit detector fires.

Stated values must be defensible. If you can't point to a comparable price, don't quote the value.

Bonuses that devalue the core

If your core offer is "I'll write your sales page for $5K" and your bonus is "PLUS — bonus sales page edits for free for life!" — the bonus implies the core is incomplete. Now the buyer wonders why they should buy without the bonus.

Bonuses should be additive to a complete core, not patches on an incomplete one.

Bonus-stack-as-substitute-for-core

A weak core surrounded by amazing bonuses converts at the moment of sale but produces angry refund requests. The buyer bought the bonuses, got the core, felt cheated.

Order: strong core first, then bonuses to address specific objections.

Stacked too high

5+ bonuses with high stated values starts to read as a course-bro funnel. Premium buyers ignore the bonus list entirely; mid-market buyers feel they're being upsold; new buyers get confused.

3–5 bonuses, each with a specific purpose. Cap it.

Same-as-everyone-else bonuses

"BONUS! Private community access!" on every course in your category isn't a bonus, it's table stakes. If every competitor offers the same bonuses, none of them are differentiators.

Find bonuses that are specific to your buyer's situation. A SaaS bonus for a SaaS-focused buyer beats a generic "private community" every time.


Bonus delivery: timing matters

A bonus delivered on day 1 closes "what if I never use it?" risk. A bonus delivered at week 4 maintains momentum. A bonus delivered at completion rewards finishing.

Mix the timing intentionally:

  • Day 1: speed bonuses (templates, swipes, toolkit)

  • Week 2–4: support bonuses (Slack, office hours, check-ins)

  • Completion: identity bonuses (certificate, alumni access)

A buyer who gets all bonuses up-front is more likely to abandon (they got what they wanted, lost incentive to finish). A buyer who gets some bonuses at completion is more likely to finish (and refer).


The audit

For each existing bonus on a current offer, ask:

  1. What specific buying objection does this close? If you can't name one, it's filler.

  2. What's its defensible stated value? If you can't point to a comparable price, drop the dollar amount.

  3. Does the buyer get it on day 1, or at a meaningful point in their journey? Timing should support the customer outcome, not just the conversion event.

  4. Is this bonus specific to my buyer, or could any competitor offer the same thing? If it's generic, replace it.

  5. Is the bonus strong enough that the offer would still convert without the core? If yes, the core is weak. Fix the core, don't lean on the bonus.

Most stuck offers have either zero bonuses or too many generic ones. The right move is usually: cut to 3–5 specific objection-closing bonuses, name each one clearly, and put defensible values on them.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

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Attribution and licence

Created by
Corey Haines
Publisher
Corey Haines (Community)
Source
coreyhaines31/marketingskills · skills/offers · commit 96798cf
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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